Overview
- Introduces a conceptual framework for crowdsourcing systems and highlights their organizational functions
- Presents the current state and future research agenda of personalized task recommendation
- Describes the design of a modular recommendation system in a productive environment
- Provides new insights into the potential of personalized task recommendation
- Includes supplementary material: sn.pub/extras
Part of the book series: Progress in IS (PROIS)
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Table of contents (6 chapters)
Keywords
About this book
This book examines the principles of and advances in personalized task recommendation in crowdsourcing systems, with the aim of improving their overall efficiency. It discusses the challenges faced by personalized task recommendation when crowdsourcing systems channel human workforces, knowledge, skills and perspectives beyond traditional organizational boundaries. The solutions presented help interested individuals find tasks that closely match their personal interests and capabilities in a context of ever-increasing opportunities of participating in crowdsourcing activities.
In order to explore the design of mechanisms that generate task recommendations based on individual preferences, the book first lays out a conceptual framework that guides the analysis and design of crowdsourcing systems. Based on a comprehensive review of existing research, it then develops and evaluates a new kind of task recommendation service that integrates with existing systems. The resulting prototype provides a platform for both the field study and the practical implementation of task recommendation in productive environments.Authors and Affiliations
About the author
Bibliographic Information
Book Title: Personalized Task Recommendation in Crowdsourcing Systems
Authors: David Geiger
Series Title: Progress in IS
DOI: https://doi.org/10.1007/978-3-319-22291-2
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-22290-5Published: 16 September 2015
Softcover ISBN: 978-3-319-37058-3Published: 23 August 2016
eBook ISBN: 978-3-319-22291-2Published: 08 September 2015
Series ISSN: 2196-8705
Series E-ISSN: 2196-8713
Edition Number: 1
Number of Pages: XI, 108
Number of Illustrations: 14 b/w illustrations, 9 illustrations in colour
Topics: IT in Business, User Interfaces and Human Computer Interaction, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery, Artificial Intelligence